DEVELOPMENT... OpenML
Run
29809

Run 29809

Task 4570 (Supervised Classification) ipums_la_98-small Uploaded 12-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8499
Per class
Build CPU time
14.3895
Build memory
1894482379.1987
F measure
0.8592
Per class
Kappa
0.1152
KB relative information score
-15057.0901
Mean absolute error
0.1524
Mean prior absolute error
0.1891
Number of instances
74850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8618
Per class
Predictive accuracy
0.8952
Prior entropy
0.4871
Recall
0.8952
Per class
Relative absolute error
0.8057
Root mean prior squared error
0.3074
Root mean squared error
0.2799
Root relative squared error
0.9105
SciMark benchmark
936.3803